SBC logo Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden.

NucPred

Fetching Q8MJ06 from www.uniprot.org...

The NucPred score for your sequence is 0.98 (see score help below)

   1  MSDTPSTGFSIIHPTSSEDQVPPPRHLSLTHPVVAKRISFYKSGDPQFGG    50
51 VRVVVNPRSFKSFDALLDNLSRKVPLPFGVRNISTPRGRHSITRLEELED 100
101 GESYLCSHGRKVQPVDLDKARRRPRPWLSSRAISAQAPPHPVAVAAPGKP 150
151 RAPRSLVVFRNGDPKTRRTVLLSRRVTQSFEAFLQHLTEVMQRPVVKLYA 200
201 TDGRRVPSLQAVILSSGAVVAAGREPFKPGNYDIQKYLLPARLPGISQRV 250
251 YPKGNAKSESRKISTHMSSSSRSQIYSVSSEKTHNNDCYLDYSFVPENYL 300
301 ALEKSDSQNLPIYPSEDDIEKSIIFNQDGTMTVEMKVRFRIKEEETIKWT 350
351 TTVSKTGPSNNDEKSEMSFPGRTESRSSGLKLAACSFSADVSPMERSSDQ 400
401 EGSLPEEINIQTTDEEAETCSSASWENATVDTDITQGTQDQAKHRFYRPP 450
451 TPGLRRVRQKKSVIGSVTLVSETEVQEKMIGQFSYSEERESGENKSEYHM 500
501 FAHSCSKMSAVSNKPVLVQINNNDQMEESLLERKKENRLLKSSAISAGVI 550
551 EITSQKMLEMSHNNGLPSTISNNSIVEEGVVDSMVSDNKTGIKNFRAYDN 600
601 TNDRFSPISADATHFSSTNSGTDKNISEATASETSSTVTARIDRLINEFA 650
651 QCGLTKLPKNEKKILSSVASKKKKKSLQQAINSRYQDGQLATKGILNKNE 700
701 RINTRGRIRKEMILQDSDSRLKGGILCEEDLQTSDTVIESNTFCSKSNLN 750
751 SMISKNFHRNKLNTTQNSKVQGLLTKRKSKSLKKVSLGAPKKREICQGDK 800
801 VFPHNESKYCKSTFENKSLFHVFNILEQKPKYFYAPQSQAEVASGYLRGM 850
851 AKKSLVTDSHITLRSQKKQKGDKLKASAVVSKQHATTRANSLASLKKPDF 900
901 PEDIAHHSVQNYIQSWLQNINPYPTLKPIKSAPVCRNEMSVVNCNNNSFP 950
951 GNDPHKSSGKINNFVMESNKHITKIASLTGDNLCKEGDKSFIASDTGEED 1000
1001 LHETQVGSLNDAYLVSLHEHCTLSQSAINDRNTKRHIAAEKSGPEKKLVY 1050
1051 QEINLARKRQSVEAAIQVDPIEEETPKDLLPVLMLHQLQASVPGISKTQN 1100
1101 GVVQMPGSLANVPFHSAICNSSTNLLLAWLLVLNLKGSMNSFCQVDAHKT 1150
1151 INKSSETLALLEILKHIAITEEADDLKAAVANLVESTTSHFGLSEKEQDV 1200
1201 VPLDLSANCSTVSIQSVPKCSENERTQRISSLDGDCSASEACAPEVCVLE 1250
1251 VTCSPCETWTVNKTYPPKETCNPSDTHFPSDGYGVDQTSMNKACFLGEVC 1300
1301 SLTDTVFSNKACAQKENHIYEGACPTVETYVPVSVCNTIDFFNSKENTYT 1350
1351 DNLESTEELERGDDIQKDLNILTDPEYKNGFNTLVSHQNVSNLSSCRLCL 1400
1401 SEKEAELDKKHSSLDDFKNCSLKKFQDENAYTSFDMEEPRTSEEPGSITN 1450
1451 SMTSSERNISELESFEELENPDTDIFNTVVNGGEQATEELIQEELEASKT 1500
1501 LELIDISGKNVMEEKRRNGIIYEIISKRLATPPSLVFCYDSKQNREKETN 1550
1551 EGETKMVKMMVKSMEAGSYSESSPDLKKCIKSPVTSDWSDYRPDSDSEQP 1600
1601 YKTSSDDPNDSGELAQEKEYNIGFVKRAIEKLYGKADIIKPSFFPGSTRK 1650
1651 SQVCPYNSVEFQCSRKASLYDSEGQSFGSSEQVSTSSPMLQEFQEERQDK 1700
1701 CDVNGVRNDYYGGDIVEPGTKQNDHSRILTDIEEGVLIDKGKWLLKENHL 1750
1751 LRMSSENPGMCGNADTTSVDTLLDNNSSEVPYSHFGNLAPVPVMDELSSS 1800
1801 ELEELTQPLELKCNYFNMPHGSDSEPFHEDVHNETCAKERIANHHTEERG 1850
1851 NNHQSERVCTSVTHSFTSASNKVYPVSDDAIKNQPLPGSNMIHGTLQEAD 1900
1901 SLDKLYALCGQHCPILTVIIQPVNEEDRGFAYRKESDIENFLGFYLWMKI 1950
1951 HPYLLQTDKKVFREENNKASMRQNHIDNAIGDIFDQFYFNNTFDLMGKRR 2000
2001 KQKRINFLELEEEGNLKKFQPDLKERLCMNFLHTSLLVVSNMNSDTQDLS 2050
2051 SQTNEMFKAVDENNNLLNTGFQGSRTNLNQIVRENTNCHYFFEMLGQACL 2100
2101 LDICQVETSLNISNRNTLEELCMFEGENLFIWEEEDILNLTDLESSREQE 2150
2151 DL 2152

Positively and negatively influencing subsequences are coloured according to the following scale:

(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)

with NucPred



If you find NucPred useful, please cite this paper:
NucPred - Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022
The authors also look forward to your comments and suggestions.

What does the NucPred score mean?

You have to decide on a NucPred score threshold. Sequences which score greater than or equal to this threshold are predicted to spend some time in the nucleus. Higher thresholds yield fewer predicted nuclear proteins, but these predictions are more accurate (you can have higher confidence in them). The table below gives more details of the performance of NucPred estimated using the sequences it was trained on (by cross-validation). Another benchmark is available in the Bioinformatics 2007 paper.

NucPred score threshold Specificity Sensitivity
see above fraction of proteins predicted to be nuclear that actually are nuclear fraction of true nuclear proteins that are predicted (coverage)
0.10 0.45 0.88
0.20 0.52 0.83
0.30 0.57 0.77
0.40 0.63 0.69
0.50 0.70 0.62
0.60 0.71 0.53
0.70 0.81 0.44
0.80 0.84 0.32
0.90 0.88 0.21
1.00 1.00 0.02

Sequences which score >= 0.8 with NucPred and which are predicted by PredictNLS to contain an NLS have been shown to be 93% correct with a coverage of 16%. (PredictNLS by itself is 87% correct with 26% coverage on the same data.)

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